CapeChat
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Universal Data: Generate
Qrvey
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Toucan Toco
Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.
Qrvey’s multi-tenant data lake includes:
Qrvey’s embedded visualizations support everything from: - Standard dashboards and templates - Self-service reporting - User-level personalization - Individual dataset creation - Data-driven workflow automation
Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.
The result: Less time and money on analytics.
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Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Qrvey takes a different approach to embedded analytics. Instead of focusing almost completely on the front end, we know that any analytics function starts with data.
Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.
For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards. Qrvey offers:
All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Based on our record, CapeChat should be more popular than Qrvey. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can use CapeChat UI to mess around with it: https://chat.capeprivacy.com/ Or you can also create a free API key here: https://app.capeprivacy.com/api-keys to use the interactive API directly: https://api.capeprivacy.com/v1/docs#/Privacy/DeidentifyText Click "Authorize" on the top right to add the key, and then click "Try it out" on any of the endpoints. - Source: Hacker News / about 1 year ago
We’ve built the Cape API so developers can keep sensitive data private while prompting LLMs like GPT-4 and GPT 3.5 Turbo. With Cape, you can easily de-identify sensitive data before sending it to OpenAI. In addition, you can create embeddings from sensitive text and documents and perform vector searches to improve your prompt context all while keeping the data confidential. Developers are using Cape with data like... - Source: Hacker News / about 1 year ago
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
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